2 Commits

4 changed files with 108 additions and 430 deletions

View File

@@ -9,7 +9,7 @@ import { formatPN, formatDICOMDate, formatDICOMTime, formatNumberPrecision } fro
import { StackViewportData, VolumeViewportData } from '../../types/CornerstoneCacheService';
import './CustomizableViewportOverlay.css';
import { studyDataForOverlayItem, instanceDataForMriOverlayItem } from './studyDataForOverlayItem';
import { studyDataForOverlayItem } from './studyDataForOverlayItem';
const EPSILON = 1e-4;
@@ -58,10 +58,10 @@ const studyDateItem = {
title: 'Study date and time',
condition: ({ referenceInstance, studyApiData }) =>
referenceInstance?.StudyDate || studyApiData?.studyTime,
contentF: ({ referenceInstance, formatters: { formatDate, formatTime }, studyApiData }) => {
contentF: ({ referenceInstance, formatters: { formatDate }, studyApiData }) => {
const date = referenceInstance?.StudyDate ? formatDate(referenceInstance.StudyDate) : '';
const time = studyApiData?.studyTime ? formatTime(studyApiData.studyTime) : '';
return `${date} ${time}`.trim();
const time = studyApiData?.studyTime ? studyApiData.studyTime : '';
return `${date} ${time}`;
},
};
@@ -125,230 +125,12 @@ const accessionNumberItem = {
contentF: ({ studyApiData }) => studyApiData.accessionNumber,
};
// Tambahan untuk Overlay MRI di Top Left
const sliceThicknessItem = {
id: 'SliceThickness',
customizationType: 'ohif.overlayItem',
label: 'Slice Thickness: ',
title: 'Slice Thickness',
condition: ({ mriInstanceData }) => mriInstanceData?.sliceThickness,
contentF: ({ mriInstanceData }) => `${mriInstanceData.sliceThickness} mm`,
};
const sliceLocationItem = {
id: 'SliceLocation',
customizationType: 'ohif.overlayItem',
label: 'Slice Loc: ',
title: 'Slice Location',
condition: ({ mriInstanceData }) => mriInstanceData?.sliceLocation,
contentF: ({ mriInstanceData }) => `${mriInstanceData.sliceLocation} mm`,
};
const sliceSpacingItem = {
id: 'SliceSpacing',
customizationType: 'ohif.overlayItem',
label: 'Slice Spacing: ',
title: 'Slice Spacing',
condition: ({ mriInstanceData }) => mriInstanceData?.spacingBetweenSlices,
contentF: ({ mriInstanceData }) => `${mriInstanceData.spacingBetweenSlices} mm`,
};
const phaseFieldOfViewItem = {
id: 'PhaseFOV',
customizationType: 'ohif.overlayItem',
label: '% Phase FOV: ',
title: 'Percent Phase FOV',
condition: ({ mriInstanceData }) => mriInstanceData?.percentPhaseFieldOfView,
contentF: ({ mriInstanceData }) => `${mriInstanceData.percentPhaseFieldOfView} %`,
};
const phaseFieldOfViewDimensionsItem = {
id: 'FOVDimensions',
customizationType: 'ohif.overlayItem',
label: 'FOV Dim: ',
title: 'Field of View Dimensions',
condition: ({ mriInstanceData }) => mriInstanceData?.fieldOfViewDimensions,
contentF: ({ mriInstanceData }) => mriInstanceData?.fieldOfViewDimensions.join(' x '),
};
const acquisitionMatrixItem = {
id: 'AcquisitionMatrix',
customizationType: 'ohif.overlayItem',
label: 'Acq Matrix: ',
title: 'Acquisition Matrix',
condition: ({ mriInstanceData }) => mriInstanceData?.acquisitionMatrix,
contentF: ({ mriInstanceData }) => `${mriInstanceData.acquisitionMatrix.join(' x ')}`,
};
const imageMatrixItem = {
id: 'ImageMatrix',
customizationType: 'ohif.overlayItem',
label: 'Image Matrix (RxC): ',
title: 'Image Matrix',
condition: ({ mriInstanceData }) =>
mriInstanceData?.imageMatrixRows && mriInstanceData?.imageMatrixColumns,
contentF: ({ mriInstanceData }) =>
`${mriInstanceData.imageMatrixRows} x ${mriInstanceData.imageMatrixColumns}`,
};
const mriTopLeftItems = {
id: 'cornerstoneOverlayTopLeft',
items: [
sliceThicknessItem,
sliceLocationItem,
sliceSpacingItem,
phaseFieldOfViewItem,
phaseFieldOfViewDimensionsItem,
acquisitionMatrixItem,
imageMatrixItem,
],
};
// Tambahan bottom left overlay MRI
const scanningSequenceItem = {
id: 'MRIScanningSequence',
customizationType: 'ohif.overlayItem',
label: 'Scanning Seq: ',
title: 'MRI Scanning Sequence',
condition: ({ mriInstanceData }) => mriInstanceData?.scanningSequence,
contentF: ({ mriInstanceData }) => `${mriInstanceData.scanningSequence} `,
};
const repetitionEchoInversionTimesItem = {
id: 'MRIRepetitionEchoInversionTimes',
customizationType: 'ohif.overlayItem',
label: 'TR/TE/TI: ',
title: 'MRI Repetition/Echo/Inversion Times',
condition: ({ mriInstanceData }) =>
mriInstanceData?.repetitionTime || mriInstanceData?.echoTime || mriInstanceData?.inversionTime,
contentF: ({ mriInstanceData }) => {
const tr = mriInstanceData?.repetitionTime || '-';
const te = mriInstanceData?.echoTime || '-';
const ti = mriInstanceData?.inversionTime || '-';
return `${tr}/${te}/${ti} ms`.replace(/\/+/g, ' / ').trim(); // Clean up extra slashes
},
};
const receiverCoilItem = {
id: 'MRIReceiverCoil',
customizationType: 'ohif.overlayItem',
label: 'Receiver Coil: ',
title: 'MRI Receiver Coil',
condition: ({ mriInstanceData }) => mriInstanceData?.receiveCoilName,
contentF: ({ mriInstanceData }) => `${mriInstanceData.receiveCoilName} `,
};
const mriScanModeItem = {
id: 'MRIScanMode',
customizationType: 'ohif.overlayItem',
label: 'Scan Mode: ',
title: 'MRI Scan Mode',
condition: ({ mriInstanceData }) => mriInstanceData?.mrAcquisitionType,
contentF: ({ mriInstanceData }) => `${mriInstanceData.mrAcquisitionType} `,
};
const phaseEncodingDirectionItem = {
id: 'MRIPhaseEncodingDirection',
customizationType: 'ohif.overlayItem',
label: 'Phase Enc Direction: ',
title: 'MRI Phase Encoding Direction',
condition: ({ mriInstanceData }) => mriInstanceData?.phaseEncodingDirection,
contentF: ({ mriInstanceData }) => `${mriInstanceData.phaseEncodingDirection} `,
};
const numOfAveragesItem = {
id: 'MRINumOfAverages',
customizationType: 'ohif.overlayItem',
label: 'NEX: ',
title: 'MRI Number of Averages',
condition: ({ mriInstanceData }) => mriInstanceData?.numOfAverages,
contentF: ({ mriInstanceData }) => `${mriInstanceData.numOfAverages} `,
};
const echoTrainLengthItem = {
id: 'MRIEchoTrainLength',
customizationType: 'ohif.overlayItem',
label: 'ETL: ',
title: 'MRI Echo Train Length',
condition: ({ mriInstanceData }) => mriInstanceData?.echoTrainLength,
contentF: ({ mriInstanceData }) => `${mriInstanceData.echoTrainLength} `,
};
const flipAngleItem = {
id: 'MRIFlipAngle',
customizationType: 'ohif.overlayItem',
label: 'Flip Angle: ',
title: 'MRI Flip Angle',
condition: ({ mriInstanceData }) => mriInstanceData?.flipAngle,
contentF: ({ mriInstanceData }) => `${mriInstanceData.flipAngle} °`,
};
const pixelBandwidthItem = {
id: 'MRIPixelBandwidth',
customizationType: 'ohif.overlayItem',
label: 'Pixel Bandwidth: ',
title: 'MRI Pixel Bandwidth',
condition: ({ mriInstanceData }) => mriInstanceData?.pixelBandwidth,
contentF: ({ mriInstanceData }) => `${mriInstanceData.pixelBandwidth} Hz`,
};
const acquisitionTimeItem = {
id: 'MRIAcquisitionTime',
customizationType: 'ohif.overlayItem',
label: 'Acq Time: ',
title: 'MRI Acquisition Time',
condition: ({ mriInstanceData }) => mriInstanceData?.acquisitionTime,
contentF: ({ referenceInstance, formatters: { formatTime }, mriInstanceData }) => {
const time = mriInstanceData?.acquisitionTime
? formatTime(mriInstanceData.acquisitionTime)
: '';
return `${time}`.trim();
},
};
const acquisitionDurationTotalItem = {
id: 'MRIAcquisitionDurationTotal',
customizationType: 'ohif.overlayItem',
label: 'Total Acq Dur: ',
title: 'MRI Total Duration Acquisition',
condition: ({ mriInstanceData }) => mriInstanceData?.acquisitionDurationTotal,
contentF: ({ mriInstanceData }) => mriInstanceData.acquisitionDurationTotal,
};
const acquisitionDurationPerFrameItem = {
id: 'MRIAcquisitionDurationPerFrame',
customizationType: 'ohif.overlayItem',
label: 'Frame Acq Dur: ',
title: 'MRI Duration Acquisition Per Frame',
condition: ({ mriInstanceData }) => mriInstanceData?.acquisitionDurationPerFrame,
contentF: ({ mriInstanceData }) => mriInstanceData.acquisitionDurationPerFrame,
};
const parallelImagingItem = {
id: 'MRIParallelImaging',
customizationType: 'ohif.overlayItem',
label: 'Parallel Img: ',
title: 'MRI Parallel Imaging',
condition: ({ mriInstanceData }) => mriInstanceData?.parallelAcquisitionTechnique,
contentF: ({ mriInstanceData }) => `${mriInstanceData.parallelAcquisitionTechnique} `,
};
const mriBottomLeftItems = {
id: 'cornerstoneOverlayBottomLeft',
items: [
scanningSequenceItem,
repetitionEchoInversionTimesItem,
receiverCoilItem,
mriScanModeItem,
phaseEncodingDirectionItem,
numOfAveragesItem,
echoTrainLengthItem,
flipAngleItem,
pixelBandwidthItem,
acquisitionDurationTotalItem,
acquisitionDurationPerFrameItem,
parallelImagingItem,
],
};
const topLeftItems = {
id: 'cornerstoneOverlayTopLeft',
items: [patientNameItem, mrnItem, sexAndAgeItem],
};
const topRightItems = {
id: 'cornerstoneOverlayTopRight',
items: [
patientNameItem,
mrnItem,
sexAndAgeItem,
accessionNumberItem,
studyDescriptionItem,
studyDateItem,
],
};
const topRightItems = { id: 'cornerstoneOverlayTopRight', items: [] };
const bottomLeftItems = {
id: 'cornerstoneOverlayBottomLeft',
@@ -378,9 +160,9 @@ const bottomRightItems = {
*/
const CornerstoneOverlay = {
id: '@ohif/cornerstoneOverlay',
mriTopLeftItems,
topLeftItems,
topRightItems,
mriBottomLeftItems,
bottomLeftItems,
bottomRightItems,
};
@@ -410,6 +192,23 @@ function CustomizableViewportOverlay({
// on the individual items rather than defining individual items.
const cornerstoneOverlay = customizationService.getCustomization('@ohif/cornerstoneOverlay');
// Historical usage defined the overlays as separate items due to lack of
// append functionality. This code enables the historical usage, but
// the recommended functionality is to append to the default values in
// cornerstoneOverlay rather than defining individual items.
const topLeftCustomization =
customizationService.getCustomization('cornerstoneOverlayTopLeft') ||
cornerstoneOverlay?.topLeftItems;
const topRightCustomization =
customizationService.getCustomization('cornerstoneOverlayTopRight') ||
cornerstoneOverlay?.topRightItems;
const bottomLeftCustomization =
customizationService.getCustomization('cornerstoneOverlayBottomLeft') ||
cornerstoneOverlay?.bottomLeftItems;
const bottomRightCustomization =
customizationService.getCustomization('cornerstoneOverlayBottomRight') ||
cornerstoneOverlay?.bottomRightItems;
const instanceNumber = useMemo(
() =>
viewportData
@@ -437,41 +236,8 @@ function CustomizableViewportOverlay({
// FEAT: Edit overlays item [2025-09-04]
const studyInstanceUID = displaySetProps?.referenceInstance?.StudyInstanceUID;
const seriesInstanceUID = displaySetProps?.referenceInstance?.SeriesInstanceUID;
const sopInstanceUID = displaySetProps?.instance?.SOPInstanceUID;
const { studyData: studyApiData, loading, error } = studyDataForOverlayItem(studyInstanceUID);
console.debug('Reference Instance:', displaySetProps?.referenceInstance);
console.debug('Instance:', displaySetProps?.instance);
// Modality untuk menentukan kustomisasi overlay
const modality = displaySetProps?.referenceInstance?.Modality;
const { instanceData: mriInstanceData } = instanceDataForMriOverlayItem(
modality === 'MR' ? studyInstanceUID : null,
modality === 'MR' ? seriesInstanceUID : null,
modality === 'MR' ? sopInstanceUID : null
);
// Historical usage defined the overlays as separate items due to lack of
// append functionality. This code enables the historical usage, but
// the recommended functionality is to append to the default values in
// cornerstoneOverlay rather than defining individual items.
const topLeftCustomization =
customizationService.getCustomization('cornerstoneOverlayTopLeft') ||
(modality === 'MR' ? cornerstoneOverlay?.mriTopLeftItems : cornerstoneOverlay?.topLeftItems);
const topRightCustomization =
customizationService.getCustomization('cornerstoneOverlayTopRight') ||
cornerstoneOverlay?.topRightItems;
const bottomLeftCustomization =
customizationService.getCustomization('cornerstoneOverlayBottomLeft') ||
(modality === 'MR'
? cornerstoneOverlay?.mriBottomLeftItems
: cornerstoneOverlay?.bottomLeftItems);
const bottomRightCustomization =
customizationService.getCustomization('cornerstoneOverlayBottomRight') ||
cornerstoneOverlay?.bottomRightItems;
/**
* Updating the VOI when the viewport changes its voi
*/
@@ -591,7 +357,6 @@ function CustomizableViewportOverlay({
viewportId,
toolGroupService,
studyApiData, // Pass the API data to the overlay items
mriInstanceData,
};
return (
@@ -605,7 +370,7 @@ function CustomizableViewportOverlay({
</>
);
},
[_renderOverlayItem, displaySetProps, studyApiData, mriInstanceData]
[_renderOverlayItem, displaySetProps, studyApiData]
);
return (

View File

@@ -143,130 +143,3 @@ export const studyDataForOverlayItem = (studyInstanceUID: string) => {
return { studyData, loading, error };
};
interface MriOverlayInstanceData {
sliceThickness?: string;
sliceLocation?: string;
spacingBetweenSlices?: string;
percentPhaseFieldOfView?: string;
fieldOfViewDimensions?: string;
acquisitionMatrix?: string;
imageMatrixRows?: number;
imageMatrixColumns?: number;
scanningSequence?: string;
repetitionTime?: string;
echoTime?: string;
inversionTime?: string;
receiveCoilName?: string;
mrAcquisitionType?: string;
phaseEncodingDirection?: string;
numOfAverages?: string;
echoTrainLength?: string;
flipAngle?: string;
pixelBandwidth?: string;
acquisitionTime?: string;
acquisitionDurationTotal?: string; // in seconds
acquisitionDurationPerFrame?: string; // in ms
parallelAcquisitionTechnique?: string;
}
export const instanceDataForMriOverlayItem = (
studyInstanceUID: string,
seriesInstanceUID: string,
sopInstanceUID: string
) => {
const [instanceData, setInstanceData] = useState<MriOverlayInstanceData | null>(null);
const [loading, setLoading] = useState(false);
const [error, setError] = useState(null);
useEffect(() => {
if (!studyInstanceUID || !seriesInstanceUID || !sopInstanceUID) return;
const fetchInstanceData = async () => {
setLoading(true);
try {
const qidoRootUrl = getQidoRootUrl();
if (!qidoRootUrl) {
throw new Error('QIDO root URL not configured');
}
// MRI tags: SliceThickness(00180050), SpacingBetweenSlices(00180088),
// PercentPhaseFieldOfView(00180094), AcquisitionMatrix(00181310),
// ScanningSequence(00180020), RepetitionTime(00180080), EchoTime(00180081),
// InversionTime(00180082), ReceiveCoilName(00181250), MRAcquisitionType(00180023),
// InPlanePhaseEncodingDirection(00181312), EchoTrainLength(00180091),
// FlipAngle(00181314), PixelBandwidth(00180095), FrameAcquisitionDuration,
// ParallelAcquisitionTechnique(00189078)
// TODO: sesuaikan includeFields dengan kebutuahan jika nanti sudah bisa
// pakai includeFields di dicomweb-proxynya
const includeFields = [
'00180050',
'00180088',
'00180094',
'00181310',
'00180020',
'00180080',
'00180081',
'00180082',
'00181250',
'00180023',
'00181312',
'00180091',
'00181314',
'00180095',
'00189220',
'00189078',
].join(',');
const url = `${qidoRootUrl}/studies/${studyInstanceUID}/series/${seriesInstanceUID}/instances/${sopInstanceUID}/metadata`;
const response = await fetch(url);
if (!response.ok) {
throw new Error(`Failed to fetch instance data: ${response.status}`);
}
const data = await response.json();
if (data && data.length > 0) {
const instance = data[0];
const extractedData: MriOverlayInstanceData = {
sliceThickness: instance['00180050']?.Value?.[0],
sliceLocation: instance['00201041']?.Value?.[0],
spacingBetweenSlices: instance['00180088']?.Value?.[0],
percentPhaseFieldOfView: instance['00180094']?.Value?.[0],
fieldOfViewDimensions: instance['00181149']?.Value,
acquisitionMatrix: instance['00181310']?.Value,
imageMatrixRows: instance['00280010']?.Value?.[0],
imageMatrixColumns: instance['00280011']?.Value?.[0],
scanningSequence: instance['00180020']?.Value?.[0],
repetitionTime: instance['00180080']?.Value?.[0],
echoTime: instance['00180081']?.Value?.[0],
inversionTime: instance['00180082']?.Value?.[0],
receiveCoilName: instance['00181250']?.Value?.[0],
mrAcquisitionType: instance['00180023']?.Value?.[0],
phaseEncodingDirection: instance['00181312']?.Value?.[0],
numOfAverages: instance['00180083']?.Value?.[0],
echoTrainLength: instance['00180091']?.Value?.[0],
flipAngle: instance['00181314']?.Value?.[0],
pixelBandwidth: instance['00180095']?.Value?.[0],
acquisitionTime: instance['00080032']?.Value?.[0],
acquisitionDurationTotal: instance['00189073']?.Value?.[0],
acquisitionDurationPerFrame: instance['00189220']?.Value?.[0],
parallelAcquisitionTechnique: instance['00189078']?.Value?.[0],
};
console.debug('Extracted MRI Instance Data:', extractedData);
setInstanceData(extractedData);
}
} catch (err) {
console.error('Error fetching MRI instance data:', err);
setError(err);
} finally {
setLoading(false);
}
};
fetchInstanceData();
}, [studyInstanceUID, seriesInstanceUID, sopInstanceUID]);
return { instanceData, loading, error };
};

View File

@@ -23,9 +23,10 @@ window.config = {
// above, the number of requests can be go a lot higher.
prefetch: 25,
},
expertise_host: `http://192.168.0.137:8080/api/v1/radiology/expertise/image-number`, // API his3 untuk expertise radiologi
pacs_document_host: `152.42.173.210`, // IP ke NV di PACS Server untuk ambil pdf
pacs_document_port: 8585,
expertise: false, //* Tambahan untuk enable expertise (CustomizableViewportOverlay)
expertise_host: `http://192.168.1.90`, // IP ke NV di PACS Server, untuk fetch expertise bawaan versi NV
pacs_document_host: `192.168.1.90`, // IP ke NV di PACS Server untuk ambil pdf
pacs_document_port: 8080,
defaultDataSourceName: 'local-proxy',
dataSources: [
{
@@ -34,9 +35,8 @@ window.config = {
configuration: {
friendlyName: 'Static WADO Local Data',
name: 'DCM4CHEE',
qidoRoot: `http://152.42.173.210:5000/rs`, // IP ke dicomweb-proxy PACS Server. URI selalu /rs
wadoRoot: `http://152.42.173.210:5000/rs`, // IP ke dicomweb-proxy PACS Server. URI selalu /rs
qidoSupportsIncludeField: false,
qidoRoot: `http://192.168.1.90:5000/rs`, // IP ke dicomweb-proxy PACS Server. URI selalu /rs
wadoRoot: `http://192.168.1.90:5000/rs`, // IP ke dicomweb-proxy PACS Server. URI selalu /rs qidoSupportsIncludeField: false,
supportsReject: true,
supportsStow: true,
imageRendering: 'wadors',

View File

@@ -341,8 +341,7 @@ const SidePanel = ({
fetchAccessionNumber();
}, [studyInstanceUID]); // Run when studyInstanceUID changes
const [expertiseError, setExpertiseError] = useState(null);
// Ubah fungsi fetchExpertiseData menjadi dengan parameter accessionNumber
const fetchExpertiseData = async accessionNumber => {
try {
// Check if window.config.expertise_host exists
@@ -357,42 +356,45 @@ const SidePanel = ({
}
setIsExpertiseLoading(true);
const url = `${window.config.expertise_host}/${encodeURIComponent(accessionNumber)}`;
const url = `${window.config.expertise_host}/nv/query.php?method=view&AccessionNumber=${encodeURIComponent(accessionNumber)}`;
// Debuggging
// const url = 'http://152.42.173.210/nv/testQueryBase64.php';
const response = await fetch(url);
const resp = await response.json();
console.log('Expertise Resp:', resp);
const data = await response.json();
console.log('Study data:', data);
if (resp?.error) {
setExpertiseError(resp.message || resp.error);
return;
}
if (resp?.status_code === 200 && resp?.data) {
const expertiseItem = { ...resp.data };
if (data?.study?.expertise && data.study.expertise.length > 0) {
const expertiseItem = { ...data.study.expertise[0] };
// Decode base64 encoded fields
// UTF-8 safe base64 decoding
const decodeBase64 = str => {
try {
// Step 1: decode base64 to binary
const binary = atob(str);
// Step 2: create a Uint8Array from the binary string
const bytes = new Uint8Array(binary.length);
for (let i = 0; i < binary.length; i++) {
bytes[i] = binary.charCodeAt(i);
}
// Step 3: decode the Uint8Array as UTF-8
return new TextDecoder('utf-8').decode(bytes);
} catch (e) {
console.error('Error decoding base64 string:', e);
return str;
return str; // Return original if decoding fails
}
};
// Decode known base64 fields
if (expertiseItem.ekspertiseResult) {
expertiseItem.ekspertiseResult = decodeBase64(expertiseItem.ekspertiseResult);
if (expertiseItem.expertise) {
expertiseItem.expertise = decodeBase64(expertiseItem.expertise);
}
if (expertiseItem.radiologist) {
expertiseItem.radiologist = decodeBase64(expertiseItem.radiologist);
}
// Add any other fields that might be base64 encoded
setExpertiseData(expertiseItem);
}
@@ -414,45 +416,83 @@ const SidePanel = ({
);
}
if (expertiseError) {
return (
<ScrollArea className="border-input bg-background h-[500px] w-full rounded-md border py-2 px-3 text-base text-white">
<h3 className="mb-4 text-lg font-bold">Expertise</h3>
<p className="text-red-500">{expertiseError}</p>
</ScrollArea>
);
}
if (!expertiseData) {
return null;
}
const parseExpertise = text => {
if (!text) return {};
const result = {};
let currentSection = 'Keterangan';
// Split expertise text by lines and process each line
const lines = text.split('\r\n').filter(line => line.trim() !== '');
lines.forEach(line => {
// Check if this is a section header
if (line.includes(':') && !line.trim().startsWith('-')) {
const parts = line.split(':');
currentSection = parts[0].trim();
const value = parts[1]?.trim() || '';
if (value) {
if (!result[currentSection]) {
result[currentSection] = [];
}
result[currentSection].push(value);
}
} else if (line.toLowerCase().includes('kesan')) {
currentSection = 'Kesan';
} else {
// Add line to current section
if (!result[currentSection]) {
result[currentSection] = [];
}
result[currentSection].push(line.trim());
}
});
return result;
};
const parsedSections = parseExpertise(expertiseData.expertise);
// Create formatted data structure
const formattedData = [
{ label: 'Dokter Pengirim', value: expertiseData.orderingPhysician || '' },
{ label: 'Dokter Pengirim', value: expertiseData.ordering_physician || '' },
{ label: 'Dokter Radiologis', value: expertiseData.radiologist || '' },
{ label: 'Waktu Expertise', value: expertiseData.expertiseDttm || '' },
{ label: 'Waktu Expertise', value: expertiseData.expertise_dttm || '' },
];
// Add additional sections from parsed text
Object.entries(parsedSections).forEach(([key, value]) => {
formattedData.push({
label: key,
value: Array.isArray(value) ? value : [value],
});
});
return (
<ScrollArea className="border-input bg-background h-[800px] w-full rounded-md border py-2 px-3 text-base text-white">
<h3 className="mb-4 text-xl font-bold">Expertise</h3>
<ScrollArea className="border-input bg-background h-[500px] w-full rounded-md border p-2 text-sm text-white">
<h3 className="mb-4 text-lg font-bold">Expertise</h3>
{formattedData.map((section, index) => (
<div
key={index}
className="mb-4"
>
<h5 className="text-lg font-bold">{section.label}:</h5>
<p className="break-words">{section.value}</p>
<h5 className="text-base font-bold">{section.label}:</h5>
{Array.isArray(section.value) ? (
<ul className="list-disc pl-6">
{section.value.map((item, idx) => (
<li key={idx}>{item}</li>
))}
</ul>
) : (
<p className="break-words">{section.value}</p>
)}
</div>
))}
<div className="mb-4">
<h5 className="text-lg font-bold">Hasil Expertise:</h5>
<div
className="leading-6"
dangerouslySetInnerHTML={{ __html: expertiseData.ekspertiseResult || '' }}
/>
</div>
</ScrollArea>
);
};