Datasets:

MedOtter
/

Pituitary_tumor

case_id stringlengths 1 3	patient_id stringlengths 1 3	slice_index int32 19 265	slice_selection stringclasses 1 value	n_slices int32 114 432	has_t2 bool 2 classes	has_carotids bool 2 classes	carotid_absent_reason stringclasses 2 values	tumor_voxels int64 1.6k 456k	carotid_voxels int64 0 31.6k	tumor_volume_mm3 float64 200 57k	shape stringclasses 24 values	spacing_mm stringclasses 2 values	isotropic bool 2 classes	resampled_to_image_grid bool 2 classes	age int32 17 86 ⌀	sex stringclasses 2 values	micro_macro stringclasses 2 values	functional_status stringclasses 5 values	knosp stringclasses 6 values	ki67 stringclasses 20 values	lineage stringclasses 7 values
1	1	119	max_tumor_area	342	true	true	null	6,416	13,196	802	[499, 404, 342]	[0.5, 0.5, 0.5]	true	false	34	F	Micro	Cushing's	0	<3	PIT-1
2	2	113	max_tumor_area	324	false	true	null	8,032	15,635	1,004	[483, 391, 324]	[0.5, 0.5, 0.5]	true	true	34	F	Micro	Prolactinoma	0	1	PIT-1
3	3	108	max_tumor_area	342	true	true	null	34,709	6,476	4,338.625	[499, 379, 342]	[0.5, 0.5, 0.5]	true	false	24	F	Macro	Acromegaly	1	<3	PIT-1
4	4	117	max_tumor_area	342	false	true	null	31,056	14,739	3,882	[499, 404, 342]	[0.5, 0.5, 0.5]	true	false	75	M	Macro	NFA	1	<3	TPIT
5	5	137	max_tumor_area	342	true	true	null	23,805	7,926	2,975.625	[499, 404, 342]	[0.5, 0.5, 0.5]	true	false	84	F	Macro	NFA	2	<3	SF1
6	6	129	max_tumor_area	342	true	true	null	63,417	13,412	7,927.125	[560, 440, 342]	[0.5, 0.5, 0.5]	true	false	47	M	Macro	NFA	1	<3	SF1
7	7	133	max_tumor_area	342	true	true	null	6,225	9,417	778.125	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	26	F	Micro	Cushing's	0	Negative	Negative
8	8	138	max_tumor_area	342	true	true	null	8,037	16,276	1,004.625	[491, 399, 342]	[0.5, 0.5, 0.5]	true	true	46	M	Macro	Prolactinoma	1	<3	PIT-1
9	9	127	max_tumor_area	342	false	true	null	33,835	12,000	4,229.375	[491, 399, 342]	[0.5, 0.5, 0.5]	true	true	79	M	Macro	NFA	2	<3	SF1
10	10	117	max_tumor_area	342	false	true	null	31,620	5,075	3,952.5	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	49	F	Macro	NFA	3b	<3	SF1
11	11	107	max_tumor_area	342	true	true	null	27,931	7,318	3,491.375	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	59	F	Macro	NFA	1	1	SF1
12	12	120	max_tumor_area	342	true	true	null	47,602	12,065	5,950.25	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	55	M	Macro	NFA	3a	2	SF1
13	13	146	max_tumor_area	342	true	true	null	5,799	9,000	724.875	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	47	F	Micro	Acromegaly	1	<3	PIT-1
14	14	132	max_tumor_area	342	true	true	null	124,343	10,767	15,542.875	[491, 419, 342]	[0.5, 0.5, 0.5]	true	true	59	M	Macro	NFA	3b	<3	SF1
15	15	132	max_tumor_area	342	true	true	null	24,348	15,336	3,043.5	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	60	F	Macro	NFA	1	3 to 5	SF1
16	16	135	max_tumor_area	342	true	true	null	26,682	6,796	3,335.25	[491, 419, 342]	[0.5, 0.5, 0.5]	true	true	38	F	Macro	NFA	2	1	TPIT
17	17	117	max_tumor_area	342	true	true	null	42,792	9,610	5,349	[499, 429, 342]	[0.5, 0.5, 0.5]	true	false	38	F	Macro	Acromegaly	1	<3	PIT-1
18	18	107	max_tumor_area	342	false	true	null	53,189	10,059	6,648.625	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	42	M	Macro	NFA	2	<3	TPIT
19	19	132	max_tumor_area	342	false	true	null	34,459	11,728	4,307.375	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	60	M	Macro	NFA	2	<3	SF1
20	20	184	max_tumor_area	432	false	true	null	18,957	8,760	2,369.625	[499, 399, 432]	[0.5, 0.5, 0.5]	true	false	76	M	Macro	NFA	1	<3	SF1
21	21	115	max_tumor_area	342	false	true	null	7,892	13,928	986.5	[491, 419, 342]	[0.5, 0.5, 0.5]	true	true	17	M	Micro	Acromegaly	0	1	PIT-1
22	22	104	max_tumor_area	342	true	true	null	6,598	10,619	824.75	[499, 499, 342]	[0.5, 0.5, 0.5]	true	false	36	F	Macro	NFA	0	Negative	Negative
23	23	117	max_tumor_area	342	false	true	null	13,820	8,869	1,727.5	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	59	F	Micro	Cushing's	0	Negative	Negative
24	24	153	max_tumor_area	432	false	true	null	456,037	15,273	57,004.625	[499, 399, 432]	[0.5, 0.5, 0.5]	true	false	70	F	Macro	NFA	4	1	TPIT
25	25	123	max_tumor_area	342	true	true	null	28,129	10,240	3,516.125	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	68	F	Macro	NFA	1	1	SF1
26	26	153	max_tumor_area	342	true	true	null	35,394	21,074	4,424.25	[499, 379, 342]	[0.5, 0.5, 0.5]	true	false	86	M	Macro	NFA	1	1	SF1
27	27	135	max_tumor_area	342	true	true	null	51,757	13,052	6,469.625	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	46	M	Macro	NFA	3b	4	SF1
28	28	130	max_tumor_area	342	true	true	null	26,145	14,133	3,268.125	[499, 379, 342]	[0.5, 0.5, 0.5]	true	false	82	M	Macro	NFA	3b	<3	SF1
29	29	114	max_tumor_area	342	true	true	null	13,857	13,528	1,732.125	[499, 409, 342]	[0.5, 0.5, 0.5]	true	false	60	M	Macro	NFA	1	3	SF1
30	30	162	max_tumor_area	342	true	true	null	51,440	22,500	6,430	[499, 389, 342]	[0.5, 0.5, 0.5]	true	false	73	M	Macro	NFA	1	<3	SF1
31	31	132	max_tumor_area	342	true	true	null	24,745	16,586	3,093.125	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	55	M	Macro	NFA	2	<3	SF1
32	32	99	max_tumor_area	342	true	true	null	18,143	13,604	2,267.875	[499, 404, 342]	[0.5, 0.5, 0.5]	true	false	23	M	Macro	Acromegaly	0	<3	PIT-1
33	33	150	max_tumor_area	342	false	true	null	102,259	25,610	12,782.375	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	46	M	Macro	NFA	2	<1	SF1
34	34	138	max_tumor_area	342	true	true	null	182,434	10,702	22,804.25	[499, 369, 342]	[0.5, 0.5, 0.5]	true	false	44	M	Macro	NFA	4	2	SF1
35	35	135	max_tumor_area	342	false	true	null	5,299	12,072	662.375	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	60	F	Micro	Cushing's	0	Suboptimal staining	TPIT
36	36	147	max_tumor_area	342	true	true	null	66,309	11,275	8,288.625	[499, 389, 342]	[0.5, 0.5, 0.5]	true	false	63	M	Macro	NFA	2	1	SF1
37	37	108	max_tumor_area	342	false	true	null	12,143	10,354	1,517.875	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	31	M	Micro	Cushing's	0	3	TPIT
38	38	129	max_tumor_area	342	true	true	null	76,244	7,208	9,530.5	[499, 379, 342]	[0.5, 0.5, 0.5]	true	false	70	M	Macro	NFA	3a	<1	SF1
39	39	147	max_tumor_area	342	false	true	null	237,796	11,525	29,724.5	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	36	M	Macro	NFA	2	3	SF1
40	40	129	max_tumor_area	342	true	true	null	12,687	9,937	1,585.875	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	58	F	Macro	NFA	1	3	TPIT
41	41	114	max_tumor_area	342	true	true	null	11,312	7,680	1,414	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	30	F	Macro	Cushing's	1	<3	TPIT
42	42	153	max_tumor_area	342	true	true	null	82,208	22,770	10,276	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	67	M	Macro	NFA	3b	<3	SF1
43	43	120	max_tumor_area	342	true	true	null	36,621	12,654	4,577.625	[499, 409, 342]	[0.5, 0.5, 0.5]	true	false	41	F	Macro	NFA	2	<3	SF1
44	44	115	max_tumor_area	342	true	true	null	36,642	10,952	4,580.25	[530, 410, 342]	[0.5, 0.5, 0.5]	true	false	36	M	Macro	Acromegaly	1	<1	PIT-1
45	45	126	max_tumor_area	342	true	true	null	132,929	27,761	16,616.125	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	62	M	Macro	NFA	3a	<3	SF1
46	46	132	max_tumor_area	342	true	true	null	185,743	8,798	23,217.875	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	47	F	Macro	NFA	4	<3	Multiple lineage plurihormonal (TPIT, SF1)
47	47	129	max_tumor_area	342	true	true	null	42,070	11,545	5,258.75	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	73	M	Macro	NFA	2	<1	SF1
48	48	118	max_tumor_area	342	false	true	null	114,711	7,864	14,338.875	[499, 409, 342]	[0.5, 0.5, 0.5]	true	false	50	F	Macro	NFA	4	3 to 5	Null cell adenoma
49	49	115	max_tumor_area	342	true	true	null	8,186	14,986	1,023.25	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	17	M	Micro	Cushing's	0	1	TPIT
50	50	166	max_tumor_area	339	true	true	null	127,283	23,971	15,910.375	[499, 375, 339]	[0.5, 0.5, 0.5]	true	false	58	M	Macro	NFA	3a	<3	SF1
51	51	124	max_tumor_area	342	true	true	null	21,140	11,030	2,642.5	[499, 409, 342]	[0.5, 0.5, 0.5]	true	false	50	F	Macro	NFA	1	<1	Negative
52	52	142	max_tumor_area	342	true	true	null	5,312	10,897	664	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	64	F	Micro	Cushing's	0	Negative	Negative
53	53	135	max_tumor_area	342	true	true	null	3,240	11,016	405	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	52	M	Macro	Cushing's	1	<3	TPIT
54	54	144	max_tumor_area	342	false	true	null	75,126	18,287	9,390.75	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	74	F	Macro	NFA	2	<3	SF1
55	55	127	max_tumor_area	342	true	true	null	52,679	22,299	6,584.875	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	67	M	Macro	NFA	0	<3	TPIT
56	56	144	max_tumor_area	342	true	true	null	19,584	15,541	2,448	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	65	F	Macro	NFA	1	<3	SF1
57	57	162	max_tumor_area	342	true	true	null	118,586	17,903	14,823.25	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	64	M	Macro	NFA	1	<3	SF1
58	58	140	max_tumor_area	342	true	true	null	85,838	20,755	10,729.75	[499, 379, 342]	[0.5, 0.5, 0.5]	true	false	64	M	Macro	NFA	3b	"low"	SF1
59	59	137	max_tumor_area	342	true	true	null	7,094	11,435	886.75	[499, 389, 342]	[0.5, 0.5, 0.5]	true	false	41	F	Micro	Cushing's	0	<1	Negative
60	60	134	max_tumor_area	342	true	true	null	6,810	5,504	851.25	[499, 409, 342]	[0.5, 0.5, 0.5]	true	false	38	F	Micro	Prolactinoma	0	1	SF1
61	61	113	max_tumor_area	342	false	true	null	23,139	15,344	2,892.375	[499, 389, 342]	[0.5, 0.5, 0.5]	true	false	55	M	Macro	NFA	2	<3	SF1
62	62	94	max_tumor_area	342	false	true	null	50,850	14,524	6,356.25	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	40	F	Macro	Prolactinoma	1	<3	PIT-1
63	63	111	max_tumor_area	342	true	true	null	191,602	11,925	23,950.25	[500, 420, 342]	[0.5, 0.5, 0.5]	true	false	55	M	Macro	NFA	3a	<3	SF1
64	64	121	max_tumor_area	342	true	true	null	66,148	23,158	8,268.5	[499, 389, 342]	[0.5, 0.5, 0.5]	true	false	59	M	Macro	NFA	1	<3	SF1
65	65	119	max_tumor_area	342	true	true	null	36,661	26,499	4,582.625	[499, 389, 342]	[0.5, 0.5, 0.5]	true	false	61	F	Macro	NFA	0	2	SF1
66	66	124	max_tumor_area	338	true	true	null	19,800	17,724	2,475	[572, 452, 338]	[0.5, 0.5, 0.5]	true	false	63	F	Macro	NFA	1	<3	SF1
67	67	97	max_tumor_area	316	true	true	null	53,559	7,890	6,694.875	[480, 370, 316]	[0.5, 0.5, 0.5]	true	false	52	F	Macro	Acromegaly	1	<3	PIT-1
68	68	110	max_tumor_area	342	true	true	null	8,310	14,753	1,038.75	[499, 389, 342]	[0.5, 0.5, 0.5]	true	false	54	M	Macro	Acromegaly	0	<3	PIT-1
69	69	133	max_tumor_area	342	true	true	null	22,083	14,731	2,760.375	[540, 420, 342]	[0.5, 0.5, 0.5]	true	false	68	M	Macro	NFA	2	<3	SF1
70	70	131	max_tumor_area	342	true	true	null	28,778	23,943	3,597.25	[499, 379, 342]	[0.5, 0.5, 0.5]	true	false	71	F	Macro	NFA	1	<3	SF1
71	71	115	max_tumor_area	342	false	true	null	5,939	11,956	742.375	[499, 409, 342]	[0.5, 0.5, 0.5]	true	false	27	M	Micro	Cushing's	0	<1	Negative
72	72	138	max_tumor_area	342	true	true	null	59,678	25,990	7,459.75	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	80	F	Macro	NFA	3a	2	SF1
73	73	132	max_tumor_area	342	false	false	not_published	7,669	0	958.625	[499, 399, 342]	[0.5, 0.5, 0.5]	true	true	37	F	Micro	Cushing's	0	<1	Negative
74	74	136	max_tumor_area	342	true	true	null	17,574	9,589	2,196.75	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	58	F	Macro	NFA	1	NA	Negative
75	75	123	max_tumor_area	342	true	false	not_published	128,555	0	16,069.375	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	34	M	Macro	Acromegaly	1	1	PIT-1
76	76	114	max_tumor_area	342	true	true	null	130,657	14,334	16,332.125	[499, 389, 342]	[0.5, 0.5, 0.5]	true	false	69	F	Macro	Acromegaly	2	<3	PIT-1
77	77	109	max_tumor_area	342	false	true	null	11,899	10,033	1,487.375	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	44	F	Macro	Acromegaly	3a	<3	PIT-1
78	78	117	max_tumor_area	342	true	true	null	14,259	16,636	1,782.375	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	69	M	Macro	NFA	3a	1	SF1
79	79	165	max_tumor_area	342	true	true	null	71,072	9,017	8,884	[499, 379, 342]	[0.5, 0.5, 0.5]	true	false	74	M	Macro	NFA	3a	<3	SF1
80	80	19	max_tumor_area	114	false	true	null	3,365	1,346	1,203.51	[512, 432, 114]	[0.4883, 0.4883, 1.5]	false	true	54	F	Macro	NFA	0	<3	SF1
81	81	157	max_tumor_area	342	true	true	null	138,023	13,187	17,252.875	[499, 369, 342]	[0.5, 0.5, 0.5]	true	false	54	F	Macro	NFA	4	1	SF1
82	82	152	max_tumor_area	342	true	true	null	26,618	20,345	3,327.25	[499, 369, 342]	[0.5, 0.5, 0.5]	true	false	51	M	Macro	NFA	0	3	TPIT
83	83	102	max_tumor_area	342	true	true	null	22,537	27,633	2,817.125	[600, 440, 342]	[0.5, 0.5, 0.5]	true	false	27	M	Macro	Acromegaly	1	5	PIT-1
84	84	130	max_tumor_area	342	true	true	null	50,226	16,709	6,278.25	[499, 379, 342]	[0.5, 0.5, 0.5]	true	false	80	F	Macro	NFA	1	1	SF1
85	85	115	max_tumor_area	342	false	true	null	56,930	5,292	7,116.25	[499, 409, 342]	[0.5, 0.5, 0.5]	true	false	30	F	Macro	NFA	1	<3	TPIT
86	86	159	max_tumor_area	342	false	true	null	71,420	6,845	8,927.5	[499, 409, 342]	[0.5, 0.5, 0.5]	true	false	59	F	Macro	NFA	1	1	TPIT
87	87	265	max_tumor_area	324	false	true	null	18,399	4,548	2,299.875	[483, 391, 324]	[0.5, 0.5, 0.5]	true	true	46	F	Macro	NFA	1	5	SF1
88	88	126	max_tumor_area	342	true	true	null	7,899	7,836	987.375	[499, 409, 342]	[0.5, 0.5, 0.5]	true	false	36	F	Micro	Cushing's	0	<1	Negative
89	89	129	max_tumor_area	342	true	true	null	7,605	5,991	950.625	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	36	F	Micro	Cushing's	0	4	TPIT
90	90	126	max_tumor_area	342	false	true	null	30,553	22,580	3,819.125	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	39	F	Macro	Acromegaly	1	1	PIT-1
91	91	106	max_tumor_area	342	true	true	null	75,386	31,596	9,423.25	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	57	M	Macro	Prolactinoma	4	<3	PIT-1
92	92	114	max_tumor_area	342	true	true	null	26,954	8,328	3,369.25	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	54	F	Macro	NFA	1	4	TPIT
93	93	116	max_tumor_area	342	true	true	null	72,572	22,451	9,071.5	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	39	M	Macro	NFA	2	<3	SF1
94	94	129	max_tumor_area	342	true	true	null	6,262	9,686	782.75	[600, 440, 342]	[0.5, 0.5, 0.5]	true	false	44	M	Macro	Prolactinoma	0	5	PIT-1
95	95	123	max_tumor_area	342	true	true	null	18,527	9,419	2,315.875	[500, 420, 342]	[0.5, 0.5, 0.5]	true	false	29	F	Macro	Acromegaly	3a	2	PIT-1
96	96	119	max_tumor_area	342	true	true	null	17,101	7,523	2,137.625	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	39	F	Macro	Acromegaly	1	3	PIT-1
97	97	144	max_tumor_area	342	false	true	null	77,635	14,327	9,704.375	[499, 409, 342]	[0.5, 0.5, 0.5]	true	false	78	F	Macro	NFA	3a	<3	SF1
98	98	105	max_tumor_area	342	true	true	null	9,667	8,873	1,208.375	[499, 419, 342]	[0.5, 0.5, 0.5]	true	false	18	M	Macro	Acromegaly	0	2	PIT-1
99	99	159	max_tumor_area	342	true	true	null	1,601	12,654	200.125	[499, 399, 342]	[0.5, 0.5, 0.5]	true	false	26	M	Micro	Cushing's	0	NR	Negative
100	100	125	max_tumor_area	342	true	true	null	149,945	17,808	18,743.125	[576, 426, 342]	[0.5, 0.5, 0.5]	true	false	null	M	Macro	NFA	3a	<3	SF1

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Pituitary_tumor

MedOtter mirror of "Mapping pituitary neuroendocrine tumors: an annotated MRI dataset profiling tumor and carotid characteristics" (Pandit et al., Scientific Data 12:80, 2025).

Upstream: figshare 27894084
Paper: 10.1038/s41597-024-04218-8
License: CC BY 4.0 - redistribution and commercial use permitted with attribution.

136 patients, one scan each, from the Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery (Queen Square) / UCL, recruited July 2021 - December 2023.

dataset/<pid>/<pid>_T1.nii.gz        T1w contrast-enhanced, 136/136
dataset/<pid>/<pid>_T2.nii.gz        T2w, co-registered, 100/136
dataset/<pid>/<pid>_mask.nii.gz      merged uint8 {0=bg, 1=tumour, 2=carotids}
original_masks/<pid>/                untouched upstream binaries
upstream/                            the authors' FSL scripts + supplementary sheet
train.jsonl                          136 rows, one per patient
metadata.csv                         same fields, flat

Classes

id	name	present
0	background	-
1	pituitary tumour-gland complex	136/136
2	intracranial internal carotid arteries (both sides, one label)	133/136

The two structures are disjoint. Measured across all 133 patients that carry both: maximum overlap 0 voxels - including the 9 Knosp-4 cases where the tumour encases the carotid and the naive expectation is overlap. Annotators carve the carotid out of the tumour label. So mask == k equality is exact and no fan-out is needed.

Carotids are absent for PID 73 and PID 75 (never published) and PID 132 (upstream file is zero bytes). has_carotids and carotid_absent_reason record this; an absent carotid is not an empty mask.

Geometry

0.5 mm isotropic, RAS, qform = sform = 1, float32 images. Per-patient FOV differs (24 distinct shapes). PID 80 escaped the upstream isotropic step and is native 0.4883 x 0.4883 x 1.5 mm; isotropic flags it.

Upstream preprocessing (scripts under upstream/): fsl_anat bias correction with --noreorient --nocrop --noreg, then flirt -applyisoxfm 0.5, then fslmaths -thr 0.9 -bin for masks. No raw DICOM is published, so this is a preprocessed release, not native acquisition data.

What this mirror changes

Every change is recorded per case in train.jsonl; original_masks/ keeps the untouched upstream binaries.

Merged label map. Upstream ships two separate binary files; this mirror adds one {0,1,2} map. Masks are binarised with > 0 off the raw array because dtypes are mixed (tumour float32 x134 / int32 x2, carotids uint8).
10 patients had masks on a different grid than their own T1 (2, 8, 9, 14, 16, 21, 73, 80, 87, 125), because upstream resampled each file against itself as reference. Nearest-neighbour resampled onto the T1 grid, which retains 100% of foreground voxels. Flagged resampled_to_image_grid.
8 patients had T2 on a different grid (14, 16, 45, 50, 58, 118, 123, 125); linearly resampled onto the T1 grid. Flagged t2_resampled_to_image_grid.

Upstream defects normalised here

The documented filenames are not the shipped ones. Paper and figshare say [pid]_tumour.nii.gz / [pid]_T2.nii.gz; the archive ships _tumor_f / _T2_f. Exactly two files lack the _f: 73_tumor.nii.gz and 132_carotids.nii.gz. Globbing the documented pattern drops PID 73; globbing the shipped pattern drops PID 132.
132_carotids.nii.gz is zero bytes.
The supplementary sheet overstates T2 availability - it names a sequence for 119 patients and gives voxel/matrix for 108, but only 100 T2 files exist. This index was built by enumerating the archive.
The sheet also carries Age = 0 for PID 100 (a missing-value sentinel; the paper's range is 17-86), #N/A for one Knosp grade, and inconsistent casing in Sex / Micro/Macro. All normalised in train.jsonl.

Correctness check

The sheet's Tumour Volume (mm3) equals mask voxel count x voxel volume. All 136 reproduce it exactly, which independently confirms the image-mask pairing and the > 0 binarisation. The check is asserted at build time.

Clinical metadata

Per patient: age, sex, micro/macro, functional status (85 NFA / 22 acromegaly / 16 Cushing's / 12 prolactinoma / 1 ?RCC), Knosp grade (0:35, 1:45, 2:22, 3a:18, 3b:6, 4:9, 1 missing), Ki-67, cell type, lineage (SF1 66 / PIT-1 33 / TPIT 19 / negative 15 / 3 mixed), native sequence parameters.

Splits

None. Upstream publishes a flat pool of 136; everything is exposed as train. Any partition is the consumer's to define - group on patient_id (one scan per patient).

Citation

@article{pandit2025pituitary,
  title   = {Mapping pituitary neuroendocrine tumors: an annotated MRI dataset
             profiling tumor and carotid characteristics},
  author  = {Pandit, Anand S. and Keenlyside, Andrew and Khan, Danyal Z. and
             Reischer, Gerda and Kamal, Muhammad A. and Yoh, Nina and
             Jaunmuktane, Zane and Borg, Anouk and Dorward, Neil L. and
             Baldeweg, Stephanie E. and Davagnanam, Indran and Hyare, Harpreet and
             Nachev, Parashkev and Marcus, Hani J.},
  journal = {Scientific Data},
  volume  = {12},
  number  = {1},
  pages   = {80},
  year    = {2025},
  doi     = {10.1038/s41597-024-04218-8}
}

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